کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
518474 867594 2009 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Computing with evidence: Part II: An evidential approach to predicting metabolic drug–drug interactions
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Computing with evidence: Part II: An evidential approach to predicting metabolic drug–drug interactions
چکیده انگلیسی

We describe a novel experiment that we conducted with the Drug Interaction Knowledge-base (DIKB) to determine which combinations of evidence enable a rule-based theory of metabolic drug–drug interactions to make the most optimal set of predictions. The focus of the experiment was a group of 16 drugs including six members of the HMG-CoA-reductase inhibitor family (statins). The experiment helped identify evidence-use strategies that enabled the DIKB to predict significantly more interactions present in a validation set than the most rigorous strategy developed by drug experts with no loss of accuracy. The best-performing strategies included evidence types that would normally be of lesser predictive value but that are often more accessible than more rigorous types. Our experimental methods represent a new approach to leveraging the available scientific evidence within a domain where important evidence is often missing or of questionable value for supporting important assertions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Biomedical Informatics - Volume 42, Issue 6, December 2009, Pages 990–1003
نویسندگان
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